scholarly journals Research on Trajectory Tracking and Obstacle Avoidance of Nonholonomic Mobile Robots in a Dynamic Environment

Robotics ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 74
Author(s):  
Kai Zhang ◽  
Ruizhen Gao ◽  
Jingjun Zhang
Keyword(s):  
Mobile Robots ◽  
Obstacle Avoidance ◽  
Trajectory Tracking ◽  
Dynamic Environment ◽  
Inequality Constraints ◽  
Nonlinear Constraint ◽  
Nonholonomic Mobile Robots ◽  
Trajectory Tracking Control ◽  
Avoidance Problem ◽  
Position State

This paper presents an obstacle-avoidance trajectory tracking method based on a nonlinear model prediction, with a dynamic environment considered in the trajectory tracking of nonholonomic mobile robots for obstacle avoidance. In this method, collision avoidance is embedded into the trajectory tracking control problem as a nonlinear constraint of the position state, which changes with time to solve the obstacle-avoidance problem in dynamic environments. The CasADi toolkit was used in MATLAB to generate a real-time, efficient C++ code with inequality constraints to avoid collisions. Trajectory tracking and obstacle avoidance in dynamic and static environments are trialed using MATLAB and CasADi simulations, and the effectiveness of the proposed control algorithm is verified.

Fixed-time trajectory tracking control for multiple nonholonomic mobile robots

2020 ◽  
pp. 014233122096641
Author(s):  
Meiying Ou ◽  
Haibin Sun ◽  
Zhenxing Zhang ◽  
Lingchun Li
Keyword(s):  
Mobile Robots ◽  
Trajectory Tracking ◽  
Tracking Control ◽  
Initial Conditions ◽  
Fixed Time ◽  
Nonholonomic Mobile Robots ◽  
Trajectory Tracking Control ◽  
Adding A Power Integrator ◽  
Time Control ◽  
Power Integrator

This paper investigates the fixed-time trajectory tracking control for a group of nonholonomic mobile robots, where the desired trajectory is generated by a virtual leader, the leader’s information is available to only a subset of the followers, and the followers are assumed to have only local interaction. According to fixed-time control theory and adding a power integrator technique, distributed fixed-time tracking controllers are developed for each robot such that all states of each robot can reach the desired value in a fixed time. Moreover, the settling time is independent of the system initial conditions and only determined by the controller parameters. Simulation results illustrate and verify the effectiveness of the proposed schemes.

scholarly journals Discrete-time predictive trajectory tracking control for nonholonomic mobile robots with obstacle avoidance

2019 ◽  
Vol 16 (5) ◽  
pp. 172988141987731
Author(s):  
Jingjun Zhang ◽  
Shaobo Zhang ◽  
Ruizhen Gao
Keyword(s):  
Obstacle Avoidance ◽  
Discrete Time ◽  
Trajectory Tracking ◽  
Tracking Control ◽  
Control Law ◽  
Nonholonomic Mobile Robots ◽  
Trajectory Tracking Control ◽  
Time Model ◽  
Control Approach ◽  
Avoidance Control

This article presents a tracking control approach with obstacle avoidance for a mobile robot. The control law is composed of two parts. The first is a discrete-time model predictive method-based trajectory tracking control law that is derived using an optimal quadratic algorithm. The second part is the obstacle avoidance strategies that switch according to two different designed obstacle avoidance regions. The controllability of the avoidance control law is analyzed. The simulation results validate the effectiveness of the proposed control law considering both trajectory tracking and obstacle avoidance.

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